Name
Papers
Collaborators
SEBASTIAN GEHRMANN
27
91
Citations 
PageRank 
Referers 
84
10.58
297
Referees 
References 
559
161
Search Limit
100559
Title
Citations
PageRank
Year
A Framework for Automated Text Generation Benchmarking.00.342022
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets.00.342021
LMDIFF: A Visual Diff Tool to Compare Language Models00.342021
Learning Compact Metrics for MT.00.342021
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients00.342020
ToTTo: A Controlled Table-To-Text Generation Dataset.00.342020
Interpretability and Analysis in Neural NLP.00.342020
Exbert: A Visual Analysis Tool To Explore Learned Representations In Transformer Models10.352020
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task00.342020
Investigating Gender Bias in Language Models Using Causal Mediation Analysis00.342020
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference.00.342020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models00.342020
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.00.342019
Generating Abstractive Summaries with Finetuned Language Models.00.342019
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection.00.342019
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models.270.812019
Margin Call - an Accessible Web-based Text Viewer with Generated Paragraph Summaries in the Margin.00.342019
Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation.00.342019
Behind the scenes: A medical natural language processing project.00.342018
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis.00.342018
End-to-End Content and Plan Selection for Data-to-Text Generation.10.352018
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks.300.832018
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language.00.342018
Bottom-Up Abstractive Summarization.00.342018
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping.50.412017
Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks.170.662016
Deploying AI Methods to Support Collaborative Writing: a Preliminary Investigation30.422015